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131 results on '"Wu, Cuixia"'

34. Direct confirmation of confinement effects by NiO confined in helical SnO2 nanocoils and its application in sensors.

Author

Hu, Qingmin, Wu, Cuixia, Dong, Zhe, Zhang, Gaixia, Ma, Zhiheng, Wang, Xiaohong, Sun, Shuhui, and Xu, Jiaqiang

Abstract

Confinement effects in space-confined catalysts are attracting attention due to their advantages, like size control, unique nanoscale chemical environments and designable nature of the active sites. There are rarely works on the direct confirmation of confinement effects because of restrictions of nanoscale confined space. Herein, we report the fabrication of a novel structure that is composed of NiO nanoparticles confined in SnO2 nanocoils (I-NiSnNCs) via atomic layer deposition (ALD). The I-NiSnNCs displayed higher sensing performance towards hydrogen than the NiO–SnO2 film, NiO outside NiSnNC and NiO both outside and inside NiSnNC sensors. The I-NiSnNC sensor shows a response to about 7 to 50 ppm H2 with a 2.4 s response time and 4.2 s recovery time at 260 °C and excellent repeatability. The synergistic effect of interfacial sites is attributed to the reaction between adsorbed H on NiO and adsorbed O at interfacial active sites. The "funneling effect" formed because the enrichment effect of hydrogen on the NiO surface is higher than that of the gas state as the adsorbed H quickly reacts at interfacial active sites. The enrichment effects of H2 lead to high sensing performance to H2, and the high reactivity of H2 at interfacial active sites leading to rapid transfer of electrons is responsible for the high response/recovery performance. The gas sensor offers a new way to directly confirm the confinement effect. And the confinement effects in return give a novel way to design sensing materials. [ABSTRACT FROM AUTHOR]

Published
2022
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38. Variation of intra‐aggregate organic carbon affects aggregate formation and stability during organic manure fertilization in a fluvo‐aquic soil.

Author

Wen, Yunjie, Tang, Yuefeng, Wen, Jiong, Wang, Qi, Bai, Lingyu, Wang, Yanan, Su, Shiming, Wu, Cuixia, Lv, Jialong, and Zeng, Xibai

Subjects
FERTILIZERS, HUMUS, SOIL dynamics, MICROBIAL growth, SILT
Abstract

The aggregate formation and stability are controlled by the dynamics of soil organic matters (SOM), but how it is related to SOM chemical composition within different‐sized aggregates is largely unknown during manure fertilization. In this study, the variations of intra‐aggregate organic carbon (OC), including intra‐particulate organic matter (iPOM) and mineral‐associated organic matter, were quantitatively and qualitatively analysed, and then, their effects on aggregate formation and stability were assessed under four treatments: control (CK), mineral fertilizer (NPK), reduced manure (30%M) and manure fertilizers (M). Manure application (M) significantly increased macroaggregate proportion, mean weight diameter (MWD), and OC contents within different‐sized aggregates compared to CK, NPK, and 30%M. The OC accumulation of macroaggregate in M was attributed to OC content increase in silt plus clay subfraction rather than iPOM with more labile organic groups; oppositely, in microaggregate it was located in the relatively stable fine iPOM. The macroaggregate formation and stability were controlled by the fine iPOM within macroaggregates, whose abundant polysaccharide‐C and aliphatic‐C after manure fertilization advanced the microbial growth except for Gram‐positive bacteria, which further promoted macroaggregate formation and stability. The free silt plus clay fraction also affected macroaggregate formation and stability, and its polysaccharide‐C derived from microorganisms or decomposing SOM was positively associated with MWD and macroaggregate proportion. Because polysaccharide‐C can be easily associated with mineral particles, further improving micro‐ or macroaggregation. We conclude that continuous manure fertilization could increase labile SOM accumulation within aggregates and then facilitate microbial growth, which collectively are responsible for aggregate formation and stabilization. [ABSTRACT FROM AUTHOR]

Published
2021
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41. Molecular basis for resistance to tribenuron in shepherd’s purse (Capsella bursa-pastoris (L.) Medik.)

Author

Tao Jin, Zhi-bo Huan, Yaling Bi, Junliang Liu, Jinxin Wang, and Wu Cuixia

Subjects
chemistry.chemical_classification, Acetolactate synthase, education.field_of_study, biology, Health, Toxicology and Mutagenesis, Population, Capsella, Capsella bursa-pastoris, General Medicine, biology.organism_classification, Amino acid, Horticulture, chemistry.chemical_compound, chemistry, Botany, biology.protein, Proline, Weed, education, Agronomy and Crop Science, Cytosine
Abstract

Capsella bursa-pastoris, a winter annual weed in the mustard family, can not be controlled by tribenuron after the herbicide has been continuously used for several years. The resistant biotype Lz-R was the generation of a population collected from Liangzhu, a place where tribenuron had been used for more than 15 consecutive years. To confirm and characterize the resistance of C. bursa-pastoris to tribenuron, whole-plant bioassays were conducted in the greenhouse. The results of whole-plant bioassays revealed that Lz-R was highly resistant to tribenuron with the resistance index (GR50 Lz-R)/(GR50 Lz-S) up to 236.6. To investigate the molecular basis of resistance in C. bursa-pastoris, the acetolactate synthase (ALS) genes were sequenced and compared between susceptible and resistant biotypes. Analysis of the nucleotide and deduced amino acid sequences between the biotypes indicated that one substitution had occurred in Domain A, cytosine by thymine (CCT to TCT) at position 197, that led to a change of the amino acid proline in the susceptible to serine in the Lz-R.

Published
2011

47. Demethylation of arsenic limits its volatilization in fungi

Author

Su, Shiming, primary, Zeng, Xibai, additional, Feng, Qiufen, additional, Bai, Lingyu, additional, Zhang, Lili, additional, Jiang, Sheng, additional, Li, Aiguo, additional, Duan, Ran, additional, Wang, Xiurong, additional, Wu, Cuixia, additional, and Wang, Yanan, additional

Published
2015
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48. Image segmentation based on improved PSO

Author

Wang Xia, Wu Cuixia, Han Liying, and Tang Hongmei

Subjects
business.industry, Computer science, Computation, Principle of maximum entropy, Histogram, Computer Science::Neural and Evolutionary Computation, Particle swarm optimization, Entropy (information theory), Pattern recognition, Segmentation, Image segmentation, Artificial intelligence, business
Abstract

The multilevel thresholds image segmentation method based on maximum entropy and improved particle swarm optimization (PSO) is presented in this paper. The proposed algorithm takes advantage of the characteristics of particle swarm optimization, and improves the parameter and evolutional process of basic PSO. Compared with the basic PSO method, the proposed method can get the better optimal thresholds and more ideal segmentation result with less computation cost and has good search stability in the experiments. The experimental results indicate that the proposed method is an promising and efficient segmentation method with fast convergence and high computational efficiency.

Published
2010

50. Arsenic speciation transformation and arsenite influx and efflux across the cell membrane of fungi investigated using HPLC–HG–AFS and in-situ XANES

Author

Zeng, Xibai, primary, Su, Shiming, additional, Feng, Qiufen, additional, Wang, Xiurong, additional, Zhang, Yangzhu, additional, Zhang, Lili, additional, Jiang, Sheng, additional, Li, Aiguo, additional, Li, Lianfang, additional, Wang, Yanan, additional, Wu, Cuixia, additional, Bai, Lingyu, additional, and Duan, Ran, additional

Published
2015
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